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Volumn 44, Issue 5-6, 2006, Pages 415-429

Selection of genetic algorithm operators for urban drainage model parameter optimisation

Author keywords

Genetic algorithms; Modelling; Parameter optimisation; Urban drainage

Indexed keywords

DRAINAGE; GENETIC ALGORITHMS; MATHEMATICAL MODELS; OPTIMIZATION; PARAMETER ESTIMATION; URBAN PLANNING;

EID: 33745375815     PISSN: 08957177     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mcm.2006.01.002     Document Type: Article
Times cited : (41)

References (37)
  • 1
    • 33745389102 scopus 로고
    • Stormwater Management Model (Version 4) User's Manual
    • Environmental Research Laboratory, Office of Research and Development, Athens, Georgia, USA
    • USEPA. Stormwater Management Model (Version 4) User's Manual. US Environmental Protection Agency (1992), Environmental Research Laboratory, Office of Research and Development, Athens, Georgia, USA
    • (1992) US Environmental Protection Agency
    • USEPA1
  • 2
    • 33745429434 scopus 로고
    • Modelling of Urban Sewer Systems on Microcomputers, MOUSE V3.0
    • Lawson and Treloar Pty Ltd, Australia
    • Danish Hydraulic Institute. Modelling of Urban Sewer Systems on Microcomputers, MOUSE V3.0. User's Guide and Technical Reference (1993), Lawson and Treloar Pty Ltd, Australia
    • (1993) User's Guide and Technical Reference
    • Danish Hydraulic Institute1
  • 5
    • 0002857056 scopus 로고
    • Model calibration
    • Singh V.P. (Ed), Water Resources Publications, Colorado
    • Sorooshian V., and Gupta K. Model calibration. In: Singh V.P. (Ed). Computer Models of Watershed Hydrology (1995), Water Resources Publications, Colorado 26-68
    • (1995) Computer Models of Watershed Hydrology , pp. 26-68
    • Sorooshian, V.1    Gupta, K.2
  • 6
    • 0024218556 scopus 로고    scopus 로고
    • Comparison of Newton-type and direct search algorithms for calibration of conceptual rainfall-runoff models
    • Hendrickson J.D., Sorooshian S., and Brazil L.E. Comparison of Newton-type and direct search algorithms for calibration of conceptual rainfall-runoff models. Water Resources Research 24 (1998) 691-700
    • (1998) Water Resources Research , vol.24 , pp. 691-700
    • Hendrickson, J.D.1    Sorooshian, S.2    Brazil, L.E.3
  • 8
    • 0031160838 scopus 로고    scopus 로고
    • Comparing several genetic algorithm schemes for the calibration of conceptual rainfall-runoff models
    • Franchini M., and Galeati M. Comparing several genetic algorithm schemes for the calibration of conceptual rainfall-runoff models. Journal of Hydrological Sciences 42 3 (1997) 357-379
    • (1997) Journal of Hydrological Sciences , vol.42 , Issue.3 , pp. 357-379
    • Franchini, M.1    Galeati, M.2
  • 10
    • 33745352911 scopus 로고    scopus 로고
    • A.W. Ng, Parameter optimisation of river water quality models using genetic algorithms, Ph.D. Thesis, School of the Built Environment, Victoria University, Australia, 2001
  • 12
    • 0002346490 scopus 로고
    • A study of control parameter affecting online performance of genetic algorithms for function optimisation
    • 4-7 October, George Mason University, California
    • Schaffer J.D., Caruana R.A., Eshelamn L.J., and Das R. A study of control parameter affecting online performance of genetic algorithms for function optimisation. Proc. Third International Conference on Genetic Algorithms. 4-7 October (1989), George Mason University, California 51-60
    • (1989) Proc. Third International Conference on Genetic Algorithms , pp. 51-60
    • Schaffer, J.D.1    Caruana, R.A.2    Eshelamn, L.J.3    Das, R.4
  • 16
    • 33745343065 scopus 로고    scopus 로고
    • A history of computation
    • Back T., et al. (Ed), Institute of Physics Publishing, Oxford University Press, New York
    • De Jong K.A., Fogel D., and Schwefel H. A history of computation. In: Back T., et al. (Ed). Handbook on Evolutionary Computation (Part A, Section 2.3) (1997), Institute of Physics Publishing, Oxford University Press, New York 1-12
    • (1997) Handbook on Evolutionary Computation (Part A, Section 2.3) , pp. 1-12
    • De Jong, K.A.1    Fogel, D.2    Schwefel, H.3
  • 17
    • 0001650502 scopus 로고
    • Sizing population for serial and parallel genetic algorithms
    • 4-7 June, George Mason University, California
    • Goldberg D.E. Sizing population for serial and parallel genetic algorithms. Proc. Third International Conference on Genetic Algorithms. 4-7 June (1989), George Mason University, California 70-79
    • (1989) Proc. Third International Conference on Genetic Algorithms , pp. 70-79
    • Goldberg, D.E.1
  • 19
    • 33745354244 scopus 로고    scopus 로고
    • R.B. Hollstien, Artificial genetic adaptation in computer control systems, Ph.D. Thesis, University of Michigan, Ann Arbor, Michigan, 1971
  • 21
    • 0032968794 scopus 로고    scopus 로고
    • Survival of the fittest - genetic algorithms versus evolution strategies in the optimisation of system models
    • Mayer D.G., Belward J.A., Widell H., and Burrage K. Survival of the fittest - genetic algorithms versus evolution strategies in the optimisation of system models. Journal of Agricultural Systems 60 2 (1999) 113-122
    • (1999) Journal of Agricultural Systems , vol.60 , Issue.2 , pp. 113-122
    • Mayer, D.G.1    Belward, J.A.2    Widell, H.3    Burrage, K.4
  • 23
    • 0347999347 scopus 로고    scopus 로고
    • Proportional selection and sampling algorithms
    • Back T., et al. (Ed), Institute of Physics Publishing, Oxford University Press, New York
    • Grefenstette J.J. Proportional selection and sampling algorithms. In: Back T., et al. (Ed). Handbook of Evolutionary Computation (Part C, Section 2.2) (1997), Institute of Physics Publishing, Oxford University Press, New York 1-6
    • (1997) Handbook of Evolutionary Computation (Part C, Section 2.2) , pp. 1-6
    • Grefenstette, J.J.1
  • 24
    • 0002035566 scopus 로고
    • Reducing bias and inefficiency in the selection algorithm
    • Massachusetts Institute of Technology, MA
    • Baker J.E. Reducing bias and inefficiency in the selection algorithm. Proc. Second International Conference on Genetic Algorithm (1987), Massachusetts Institute of Technology, MA 14-21
    • (1987) Proc. Second International Conference on Genetic Algorithm , pp. 14-21
    • Baker, J.E.1
  • 25
    • 0006443970 scopus 로고    scopus 로고
    • Tournament selection
    • Back T., et al. (Ed), Institute of Physics Publishing. Oxford University, New York
    • Blickle T. Tournament selection. In: Back T., et al. (Ed). Hand Book of Evolutionary Computation (Part C, Section 2.3) (1997), Institute of Physics Publishing. Oxford University, New York 1-11
    • (1997) Hand Book of Evolutionary Computation (Part C, Section 2.3) , pp. 1-11
    • Blickle, T.1
  • 26
    • 0002819121 scopus 로고
    • A Comparative analysis of selection schemes used in genetic algorithms
    • Rawlins G.J. (Ed), Morgan Kaufman Publishers, San Mateo, California
    • Goldberg D.E., and Deb K. A Comparative analysis of selection schemes used in genetic algorithms. In: Rawlins G.J. (Ed). Foundations of Genetic Algorithms (1991), Morgan Kaufman Publishers, San Mateo, California 69-93
    • (1991) Foundations of Genetic Algorithms , pp. 69-93
    • Goldberg, D.E.1    Deb, K.2
  • 28
    • 0035340201 scopus 로고    scopus 로고
    • Hydrological data monitoring for urban stormwater drainage systems
    • Maheepala U.K., Takyi A.K., and Perera B.J.C. Hydrological data monitoring for urban stormwater drainage systems. Journal of Hydrology 245 (2001) 32-47
    • (2001) Journal of Hydrology , vol.245 , pp. 32-47
    • Maheepala, U.K.1    Takyi, A.K.2    Perera, B.J.C.3
  • 29
    • 33745400973 scopus 로고    scopus 로고
    • S. Mardle, S. Pascoe, An overview of genetic algorithms for the solution of optimisation problems, Computers in Higher Education Economics Review 13 (1) (1999) University of Portsmouth
  • 30
    • 0003711368 scopus 로고
    • Department of Computer Science, University of Dortmund, USA
    • Back T. A User's Guide to GENEsYs 1.0 (1992), Department of Computer Science, University of Dortmund, USA
    • (1992) A User's Guide to GENEsYs 1.0
    • Back, T.1
  • 32
    • 33745386789 scopus 로고    scopus 로고
    • N.R. Siriwardene, Parameter estimation of urban drainage models, MEng Thesis, School of Architectural, Civil and Mechanical Engineering, Victoria University, Australia, 2003
  • 33
    • 0026266630 scopus 로고
    • The Genetic algorithms and its application to calibrating conceptual rainfall-runoff models
    • Wang Q.J. The Genetic algorithms and its application to calibrating conceptual rainfall-runoff models. Water Resources Research 27 9 (1991) 2467-2471
    • (1991) Water Resources Research , vol.27 , Issue.9 , pp. 2467-2471
    • Wang, Q.J.1
  • 34
    • 33745339720 scopus 로고    scopus 로고
    • Use of a genetic algorithm combined with a local search method for the automatic calibration of conceptual rainfall-runoff models
    • Franchini M. Use of a genetic algorithm combined with a local search method for the automatic calibration of conceptual rainfall-runoff models. Hydrological Sciences 42 3 (1996) 357-379
    • (1996) Hydrological Sciences , vol.42 , Issue.3 , pp. 357-379
    • Franchini, M.1
  • 35
    • 0031080586 scopus 로고    scopus 로고
    • Parameter estimation on non-linear Muskingum models using genetic algorithm
    • Mohan S. Parameter estimation on non-linear Muskingum models using genetic algorithm. ASCE Journal of Hydraulic Engineering 123 8 (1997) 137-142
    • (1997) ASCE Journal of Hydraulic Engineering , vol.123 , Issue.8 , pp. 137-142
    • Mohan, S.1
  • 36
    • 0142217229 scopus 로고    scopus 로고
    • Selection of genetic algorithm operators for river water quality model calibration
    • Ng A.W.M., and Perera B.J.C. Selection of genetic algorithm operators for river water quality model calibration. Engineering Applications of Artificial Intelligence 16 (2003) 529-541
    • (2003) Engineering Applications of Artificial Intelligence , vol.16 , pp. 529-541
    • Ng, A.W.M.1    Perera, B.J.C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.